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Data Science from Scratch: First Principles with Python by [Grus, Joel]
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Data Science from Scratch: First Principles with Python 1st Edition, Kindle Edition


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Length: 330 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

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Product description

Product Description

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.

  • Get a crash course in Python
  • Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science
  • Collect, explore, clean, munge, and manipulate data
  • Dive into the fundamentals of machine learning
  • Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

About the Author

Joel Grus is a software engineer at Google. Before that he worked as a data scientist at multiple startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.


Product details

  • Format: Kindle Edition
  • File Size: 9997 KB
  • Print Length: 330 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (14 April 2015)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B00W4DTP2A
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #52,328 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

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Amazon.com: 3.9 out of 5 stars 116 reviews
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5.0 out of 5 starsHighly recommended for every non-statistician that wants to be a Data Scientist
25 February 2016 - Published on Amazon.com
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64 people found this helpful.
Kelly Maurice
5.0 out of 5 starsOutstanding Book Providing Exactly What The Title Says
10 June 2016 - Published on Amazon.com
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19 people found this helpful.
Tigran Kalaydzhyan
5.0 out of 5 starsI like that that there are enough details to write a ...
17 November 2017 - Published on Amazon.com
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6 people found this helpful.
Brig Young
4.0 out of 5 starsJump Start for understanding Data Science.
22 December 2016 - Published on Amazon.com
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12 people found this helpful.
John.P.
2.0 out of 5 starsPoor print quality
9 February 2019 - Published on Amazon.com
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3 people found this helpful.